作者:
Andrew Gelman
/
John B. Carlin
/
Hal S. Stern
/
Donald B. Rubin
出版社: Chapman and Hall/CRC
出版年: 2003-7-29
页数: 690
定价: USD 83.95
装帧: Hardcover
丛书: Texts in Statistical Science
ISBN: 9781584883883
出版社: Chapman and Hall/CRC
出版年: 2003-7-29
页数: 690
定价: USD 83.95
装帧: Hardcover
丛书: Texts in Statistical Science
ISBN: 9781584883883
内容简介 · · · · · ·
Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statis...
作者简介 · · · · · ·
Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, David B. Dunson
丛书信息
· · · · · ·
Texts in Statistical Science(共46册)，
这套丛书还有
《Statistical Rethinking (2/e)》《Problems and Solutions in Biostatistical Theory (Chapman & Hall/Crc Texts in Statistical Science Series)》《Statistical Analysis of Financial Data: With Examples In R》《Statistical Inference》《Bayesian Data Analysis (3/e)》
等
。
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Bayesian Data Analysis, Second Edition的书评 · · · · · · ( 全部 1 条 )
> 更多书评 1篇
论坛 · · · · · ·
| 请问谁有这本书的电子版 请告诉我一下 谢谢了 | 来自Vishen | 1 回应 | 2010-08-01 13:41:29 |
| 贝叶斯数据分析的经典著作 | 来自袜子 | 2 回应 | 2009-09-12 15:55:00 |
这本书的其他版本 · · · · · · ( 全部5 )
在哪儿借这本书 · · · · · ·
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订阅关于Bayesian Data Analysis, Second Edition的评论:
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5 有用 Mo 2013-01-21 18:12:39
不咋地,既没没理论深度，又不系统。既没覆盖足够多的有用算法，废话还多。neither theoretical enough to give deep insight, nor practical and broad enough to cover most useful tools and algorithms. Why it is so famous, always bugs me. Maybe... 不咋地,既没没理论深度，又不系统。既没覆盖足够多的有用算法，废话还多。neither theoretical enough to give deep insight, nor practical and broad enough to cover most useful tools and algorithms. Why it is so famous, always bugs me. Maybe because the author is a much better salesman than a researcher. If you want to know Bayesian, get a real classic, like James O. Berger. (展开)
0 有用 🐧 2018-07-20 09:30:49
Devil, 深度讲得很尴尬，作为应用型，讲得太理论，作为理论型，讲得太浅薄
2 有用 blackkss 2018-02-05 22:45:51
It must be read if you wish to be a Bayesian
0 有用 春秋晦朔 2021-02-25 04:46:30
理论稍微有些多，应用不足。
0 有用 春秋晦朔 2021-02-25 04:46:30
理论稍微有些多，应用不足。
0 有用 🐧 2018-07-20 09:30:49
Devil, 深度讲得很尴尬，作为应用型，讲得太理论，作为理论型，讲得太浅薄
2 有用 blackkss 2018-02-05 22:45:51
It must be read if you wish to be a Bayesian
5 有用 Mo 2013-01-21 18:12:39
不咋地,既没没理论深度，又不系统。既没覆盖足够多的有用算法，废话还多。neither theoretical enough to give deep insight, nor practical and broad enough to cover most useful tools and algorithms. Why it is so famous, always bugs me. Maybe... 不咋地,既没没理论深度，又不系统。既没覆盖足够多的有用算法，废话还多。neither theoretical enough to give deep insight, nor practical and broad enough to cover most useful tools and algorithms. Why it is so famous, always bugs me. Maybe because the author is a much better salesman than a researcher. If you want to know Bayesian, get a real classic, like James O. Berger. (展开)